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Bioinformatics methods were used to analyze non-small-cell lung cancer gene chip data, screen differentially expressed genes (DEGs), explore biomarkers related to NSCLC prognosis, provide new targets for the treatment of NSCLC, and build immunotyping and line-map model.<br /><br /> NSCLC-related gene chip data were downloaded from the GEO database, and the common DEGs of the two datasets were screened by using the GEO2R tool and FunRich 3.1.3 software. DAVID database was used for GO analysis and KEGG analysis of DEGs, and protein-protein interaction (PPI) network was constructed by STRING database and Cytoscape 3.8.0 software, and the top 20 hub genes were analyzed and screened out. The expression of pivot genes and their relationship with prognosis were verified by multiple external databases.<br /><br /> 159 common DEGs were screened from the two datasets. PPI network was constructed and analyzed, and the genes with the top 20 connectivity were selected as the pivotal genes of this study. The results of survival analysis and the patients' survival curve was reflected in the line graph model of NSCLC.<br /><br /> Through the screening and identification of the VIM-AS1 gene, as well as the analysis of immune infiltration and immune typing, the successful establishment of the rosette model has a certain guiding value for the molecular targeted therapy of patients with non-small-cell lung cancer.<br /><br />Through the screening and identification of the VIM-AS1 gene, as well as the analysis of immune infiltration and immune typing, the successful establishment of the rosette model has a certain guiding value for the molecular targeted therapy of patients with non-small-cell lung cancer.<br /><br /> This study aimed to investigate the factors related to pregnancy outcomes after laparoscopic myomectomy.<br /><br /> A retrospective review was conducted on 156 patients aged 18 to 45 years who underwent laparoscopic myomectomy in Ningbo Women and Children's Hospital from January 2010 to December 2016. Follow-up medical records and information were collected on demographic variables, clinical variables, and postoperative pregnancy rate. The logistic regression model was used to assess the association between related factors and postoperative pregnancy rate or pregnancy outcome. The outcome indicators included abortion = 0, premature birth = 1, and full term = 2. The chi-squared test or Fisher's exact test was used to compare the differences in pregnancy outcomes, postpartum hemorrhage, and placenta adhesion between the cohorts.<br /><br /> The size of fibroids correlated with the postoperative pregnancy rate. The larger the fibroids, the lower the postoperative pregnancy rate, and the difference was statistically significant. The number of fibroids and placental adhesions was positively associated with postoperative pregnancy; the higher the number of fibroids, the higher the incidence of placental adhesions. However, the postoperative interval of pregnancy, fibroid size, and number and type of fibroids are not correlated with the pregnancy outcomes of postoperative patients.<br /><br /> The size of myoma may influence the pregnancy rate of patients after laparoscopic myomectomy. The number of fibroids can affect the incidence of placental adhesions during postoperative pregnancy.<br /><br />The size of myoma may influence the pregnancy rate of patients after laparoscopic myomectomy. [https://www.selleckchem.com/Bcl-2.html Bcl-2 pathway] The number of fibroids can affect the incidence of placental adhesions during postoperative pregnancy.<br /><br /> Presented study explores the knowledge domain of psychological research published in 2020 and 2021. Metadata from 156,942 psychology papers available in Scopus were analyzed using citation analysis and bibliographic mapping techniques. Having in mind the ubiquity of the COVID-19 pandemic and the numerous ways it has affected people's lives, the fact that COVID-19-related papers represent only 2% to 7% of the total academic production in psychology may seem rather low. However, these papers have attracted much more attention from the public than non-COVID papers. They were also cited two to eight times more frequently, depending on the measure used, and account for 16% to 19% of total citations to psychology papers. Results show that early-stage researchers and those who had fewer articles in Scopus have benefited more from publishing COVID papers. They have managed to boost their average citation rates to the level of their colleagues who were much longer active and previously had higher citedness. Results indicate that the authors citing behavior largely follows the cumulative advantage pattern. Psychological research in general is mainly focused on mental health, anxiety, depression, and stress. This trend is even more fostered due to the pandemic since some of these topics are often analyzed as typical emotional reactions to COVID-19. Other relevant issues are also very well covered, except for the question how scientific results are communicated to the public. The role of "hot" papers was elaborated from the perspective of research evaluation practice.<br /><br /> The online version contains supplementary material available at 10.1007/s12144-022-03146-3.<br /><br />The online version contains supplementary material available at 10.1007/s12144-022-03146-3.The COVID-19 pandemic that has impinged upon the world affects individuals not only physically but also psychologically. Considering the effects of the pandemic that can be called a challenging life event, the concept of psychological resilience comes to mind. In this study, the effect of multidimensional avoidance on the relationship between psychological resilience and psychological need satisfaction-frustration of adults is discussed through structural equation modeling. The study data were collected online from 506 adults who participated voluntarily from 7 different geographical regions of Turkey. The study findings were obtained by using correlation analysis, structural equation modeling, and path analysis. As a result of the study, it is seen that all the variables of multidimensional avoidance except distraction/suppression and frustration directly affect psychological resilience in satisfaction and frustration of basic psychological needs. In addition, it shows that psychological resilience has a significant effect on satisfaction and frustration of basic psychological needs, both directly and indirectly through multidimensional avoidance.Topological nanophotonics is a new avenue for exploring nanoscale systems from visible to THz frequencies, with unprecedented control. By embracing their complexity and fully utilizing the properties that make them distinct from electronic systems, we aim to study new topological phenomena. In this Perspective, we summarize the current state of the field and highlight the use of nanoparticle systems for exploring topological phases beyond electronic analogues. We provide an overview of the tools needed to capture the radiative, retardative, and long-range properties of these systems. We discuss the application of dielectric and metallic nanoparticles in nonlinear systems and also provide an overview of the newly developed topic of topological insulator nanoparticles. We hope that a comprehensive understanding of topological nanoparticle photonic systems will allow us to exploit them to their full potential and explore new topological phenomena at very reduced dimensions.Strong coupling of excitonic resonances with a cavity gives rise to exciton-polaritons which possess a modified energy landscape compared to the uncoupled emitter. However, due to the femtosecond lifetime of the so-called bright polariton states and transient changes of the cavity reflectivity under excitation, it is challenging to directly measure the polariton excited state dynamics. Here, near-infrared pump-probe spectroscopy is used to investigate the ultrafast dynamics of exciton-polaritons based on strongly coupled (6,5) single-walled carbon nanotubes in metal-clad microcavities. We present a protocol for fitting the reflectivity-associated response of the cavity using genetic algorithm-assisted transfer-matrix simulations. With this approach, we are able to identify an absorptive exciton-polariton feature in the transient transmission data. This feature appears instantaneously under resonant excitation of the upper polariton but is delayed for off-resonant excitation. The observed transition energy and detuning dependence point toward a direct upper polariton-to-biexciton transition. Our results provide direct evidence for exciton-polariton intrinsic transitions beyond the bright polariton lifetime in strongly coupled microcavities.Resonant photonic sensors are enjoying much attention based on the worldwide drive toward personalized healthcare diagnostics and the need to better monitor the environment. Recent developments exploiting novel concepts such as metasurfaces, bound states in the continuum, and topological sensing have added to the interest in this topic. The drive toward increasingly higher quality (Q)-factors, combined with the requirement for low costs, makes it critical to understand the impact of realistic limitations such as losses on photonic sensors. Traditionally, it is assumed that the reduction in the Q-factor sufficiently accounts for the presence of loss. Here, we highlight that this assumption is overly simplistic, and we show that losses have a stronger impact on the resonance amplitude than on the Q-factor. We note that the effect of the resonance amplitude has been largely ignored in the literature, and there is no physical model clearly describing the relationship between the limit of detection (LOD), Q-factor, and resonance amplitude. We have, therefore, developed a novel, ab initio analytical model, where we derive the complete figure of merit for resonant photonic sensors and determine their LOD. In addition to highlighting the importance of the optical losses and the resonance amplitude, we show that, counter-intuitively, optimization of the LOD is not achieved by maximization of the Q-factor but by counterbalancing the Q-factor and amplitude. We validate the model experimentally, put it into context, and show that it is essential for applying novel sensing concepts in realistic scenarios.Methotrexate (MTX) has been widely used with a wide range of doses in the treatment of certain neoplastic diseases, severe psoriasis, and rheumatoid arthritis. At higher dose, monitoring of serum MTX elimination is performed because delayed elimination can result in serious and potentially life-threatening toxicities. A number of medications, including nonsteroidal anti-inflammatory drugs (NSAIDs), salicylates, phenylbutazone, phenytoin, sulfonamides, and some oral antibiotics, are known to interact with MTX therapy through various mechanisms. Accumulating evidence suggests that concomitant use of MTX (primarily at high doses) and proton pump inhibitors (PPIs) such as omeprazole, esomeprazole, and pantoprazole may decrease MTX clearance. The majority of the reported cases occurred with the administration of high-dose MTX in patients receiving doses of 300 mg/m2 to 12 g/m2. However, there were also cases of patients taking PPI and experiencing toxicity at doses as low as 10 mg of MTX per week. Although the dosage of MTX is small, the presence of side effect may be delayed and still dangerous.